{"id":475258,"url":"https://alion.io/job/acadian-asset-vp-principal-quant-engineer","title":"VP, Principal Quant Engineer","company":{"id":183353,"name":"Acadian Asset Management","domain":"acadian-asset.com","url":"https://alion.io/company/acadian-asset","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":185000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Optuna","optional":false},{"name":"Polars","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-03-05T12:42:33Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-11-03T05:43:33Z","board_verified":true,"closed_at":null,"days_open":242,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":242},"description":"Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $232 billion on behalf of leading institutions worldwide-including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches.\nWhat sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We’re united by a shared purpose: delivering effective client outcomes and supporting one another in work that’s both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture-all designed to support the meaningful, collaborative work that defines Acadian.\nPosition Overview:\nWe are seeking a Principal Quant Engineer to work in close collaboration with Research, Portfolio Management, and Data teams to design and implement scalable, production-grade platforms that support Acadian’s quantitative research and investment processes.\nThis role focuses on building quant tooling that enables researchers to efficiently develop, evaluate, and deploy quantitative models across investment processes including alpha, risk, transaction cost analysis, attribution, etc. The emphasis is on creating infrastructure that makes quantitative research repeatable, observable, and production-ready at scale.\nAcadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.\nWhat You’ll Do:\nDesign and implement quant tooling that supports signal construction and evaluation workflows, powering production portfolios across global asset universes.\nWork closely with quantitative researchers to ensure research infrastructure continues to evolve in step with their needs, enabling efficient experimentation and reliable alpha generation.\nLead the AI centric development and evolution of core platform capabilities that support signal computation, data access, workflow orchestration, and distributed execution for both quantitative signals and machine learning-based techniques, including deep learning workflows built with PyTorch.\nEnsure platform flexibility while maintaining integration with downstream processes for portfolio construction, portfolio management, marketing, client reporting, etc\nIncorporate machine learning and AI techniques into signal construction, parameter estimation, and efficacy evaluation workflows where they improve forecast quality and research productivity, including hyper-parameter optimization using frameworks such as Optuna or similar.\nProvide architectural leadership to improve robustness, transparency, scalability, and performance of data- and compute-intensive research and production workflows.\nCollaborate with data and platform teams to streamline access to market data, alternative datasets, and compute resources, reducing friction in the research “inner loop” of signal development, backtesting, and validation.\nContribute to the end-to-end machine learning lifecycle capabilities, including experiment tracking, model management, embedding and graph visualization, and deployment, drawing on tools and concepts such as MLflow.\nWe’re Looking for Teammates With:\nBachelor’s degree or higher in Computer Science, Engineering, Applied Mathematics, or a related quantitative field.\n7+ years of experience in software engineering, with significant hands-on work supporting quantitative research, signal development, or systematic investing in production environments.\nDemonstrated experience building and operating quantitative platforms that support signal modeling, evaluation, and deployment at scale.\nStrong proficiency in Python and modern data processing and numerical computing tools (e.g., Polars).\nFamiliarity with machine learning and AI-assisted development techniques, including the use of AI or agentic coding tools (e.g. Claude Code) to improve research and engineering productivity.\nSolid understanding of system design concepts.\nDemonstrated ability to deliver robust, transparent, and performant systems.\nStrong attention to detail and a commitment to producing accurate, reliable, and well-engineered solutions.\nCreativity and enthusiasm for solving complex problems.\nStrong work ethic and a roll-up-your-sleeves mindset, with the ability to operate effectively in a hands-on, collaborative environment.\nThe base salary range for this role is $185,000 - $225,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.\nTo apply for this position or view Acadian’s open roles, please visit the Careers section of our website at: https://www.acadian-asset.com/careers/open-positions. We will contact only selected candidates. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at .\nAcadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. 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